Senior DevOps Engineer​/GitHub SME

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This range is provided by Kforce Inc. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

$65.00/hr - $75.00/hr

• Build and optimize CI/CD pipelines to deploy ML models to production environments
• Own infrastructure automation using Terraform and AWS services
• Automate ML model deployment workflows using Python and shell scripting
• Collaborate with data scientists to streamline model training and inference workflows
• Manage containerized deployments using ECS, EKS, and Lambda
• Implement workflow orchestration with AWS Step Functions and Glue
• Drive MLOps best practices and ensure compliance with Agile SDLC processes

• Hands‑on experience with Terraform for infrastructure as code
• Strong Python skills for scripting, automation, and debugging ML deployment pipelines
• Strong AWS expertise:
  Sage Maker, Glue, Lambda, ECS, EKS, IAM, Step Functions
• Proven skill in Git Hub and Git Hub Actions for workflow automation
• Python proficiency for scripting, debugging, and automation
• Solid background in shell scripting for deployment and maintenance tasks
• Demonstrated success supporting ML model deployment in production
• Senior‑level candidates: experience taking ownership of MLOps solution design and troubleshooting

We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave.

Kforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.

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